Asymmetric ON-OFF processing of visual motion cancels variability induced by the structure of natural scenes

Author:

Chen Juyue1ORCID,Mandel Holly B2,Fitzgerald James E3ORCID,Clark Damon A1245ORCID

Affiliation:

1. Interdepartmental Neuroscience Program, Yale University, New Haven, United States

2. Department of Molecular, Cellular and Developmental Biology, Yale University, New Haven, United States

3. Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, United States

4. Department of Physics, Yale University, New Haven, United States

5. Department of Neuroscience, Yale University, New Haven, United States

Abstract

Animals detect motion using a variety of visual cues that reflect regularities in the natural world. Experiments in animals across phyla have shown that motion percepts incorporate both pairwise and triplet spatiotemporal correlations that could theoretically benefit motion computation. However, it remains unclear how visual systems assemble these cues to build accurate motion estimates. Here, we used systematic behavioral measurements of fruit fly motion perception to show how flies combine local pairwise and triplet correlations to reduce variability in motion estimates across natural scenes. By generating synthetic images with statistics controlled by maximum entropy distributions, we show that the triplet correlations are useful only when images have light-dark asymmetries that mimic natural ones. This suggests that asymmetric ON-OFF processing is tuned to the particular statistics of natural scenes. Since all animals encounter the world’s light-dark asymmetries, many visual systems are likely to use asymmetric ON-OFF processing to improve motion estimation.

Funder

National Institutes of Health

National Science Foundation

Chicago Community Trust

Howard Hughes Medical Institute

Alfred P. Sloan Foundation

The Swartz Foundation

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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